A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/series/methods/test_repeat.py

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1.2 KiB

import numpy as np
import pytest
from pandas import (
MultiIndex,
Series,
)
import pandas._testing as tm
class TestRepeat:
def test_repeat(self):
ser = Series(np.random.randn(3), index=["a", "b", "c"])
reps = ser.repeat(5)
exp = Series(ser.values.repeat(5), index=ser.index.values.repeat(5))
tm.assert_series_equal(reps, exp)
to_rep = [2, 3, 4]
reps = ser.repeat(to_rep)
exp = Series(ser.values.repeat(to_rep), index=ser.index.values.repeat(to_rep))
tm.assert_series_equal(reps, exp)
def test_numpy_repeat(self):
ser = Series(np.arange(3), name="x")
expected = Series(
ser.values.repeat(2), name="x", index=ser.index.values.repeat(2)
)
tm.assert_series_equal(np.repeat(ser, 2), expected)
msg = "the 'axis' parameter is not supported"
with pytest.raises(ValueError, match=msg):
np.repeat(ser, 2, axis=0)
def test_repeat_with_multiindex(self):
# GH#9361, fixed by GH#7891
m_idx = MultiIndex.from_tuples([(1, 2), (3, 4), (5, 6), (7, 8)])
data = ["a", "b", "c", "d"]
m_df = Series(data, index=m_idx)
assert m_df.repeat(3).shape == (3 * len(data),)